Wireflow AI
You're agent can Chain 60+ AI image and video models on one workflow canvas
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Overview
Wireflow speaks the Model Context Protocol. Connect Claude or any MCP client and let it build, inspect, and run your AI workflows, and generate and edit media through one canvas, API, and MCP, across 100+ models. It acts on your behalf with explicit consent and per-scope permissions. Add a custom connector in your MCP client and point it at the Streamable HTTP endpoint below. The client walks you through Wireflow’s OAuth sign-in and a consent screen, no manual API keys, no client setup. - OAuth 2.1 authorization code flow with PKCE (S256). - Dynamic Client Registration (RFC 7591), so clients self-register with no pre-shared credentials. - You approve a consent screen listing exactly the permissions the client asked for. Revoke anytime from settings.
Installation
Installation instructions are not available yet.
Configuration
Configuration example is not available yet.
Capabilities
- Inspect workflows
Ask to list your workflows with `list_workflows` or drill into a specific graph's nodes and inputs via `get_workflow`.
- Build from a prompt
Have `create_workflow_from_prompt` draft a new workflow from a description, then refine node configs with `update_workflow_config`.
- Preview and edit video
Use `get_video_timeline` to inspect scenes, `preview_video_frames` for free stills, and `edit_video_timeline` to swap cuts before rendering.
- Run and monitor jobs
Trigger `run_workflow` to get an executionId, then poll `get_execution` for status and output URLs.
- Manage automations
List, create, pause, or reschedule recurring runs via `list_automations`, `create_automation`, and `update_automation`.
- Check account state
Confirm identity with `whoami`, view credit balance via `get_credit_balance`, or browse available models with `list_models`.
Tags
- documentation
- document
- video
- content-creation
- design
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